Bayesian Health

Full-stack Engineer

• Work closely with product managers, clinicians, data scientists, and other software engineers to develop and deploy clinical AI/ML products for enterprise health systems.
• Drive expansion of clinical AI/ML module offerings and revenue growth.
• Full stack product development: Understand and translate clinical product requirements into an optimal technical design to build world-class clinical AI applications for our end users.
• Testing: Ensure product correctness and quality through comprehensive unit, integration, and end-to-end tests.
• Cross functional collaboration: Work closely with Product, Clinical, and Data Science to drive alignment and deliver impactful technology that saves lives.

Software Engineer, Full Stack, AI/ML Products

• Rapidly growing startup mission: make healthcare proactive by empowering clinicians with real-time data to save lives.
• Lead development of data infrastructure, pipelines, and tools to enable research and real-time production applications for clinical AI/ML modules.
• Build robust infrastructure for storing large volumes of data and supporting complex queries for production, research, and analytics.
• Design, implement, and deploy reliable data pipelines and services integrating with EHR systems using FHIR and HL7.
• Ensure secure transfer and storage of sensitive data (PII/PHI) in compliance with HITRUST and SOC2.
• Collaborate closely with Product, Clinical, and Data Science teams to align and deliver impactful technology that saves lives.

Senior Software Engineer, Data Platform

Data Scientist

• Early-stage startup on a mission to make healthcare proactive by empowering clinicians with real-time data to save lives.
• Lead development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enable client success, product, clinical, and technology teams to uplevel decision making.
• Work closely with client success, product managers, clinicians, data scientists, and software engineers to build infrastructure, frameworks, and tools to improve client analytics and support product investigation.
• Implement infrastructure, queries, and automation to monitor KPIs and success metrics of products across multiple clinical domains and clients.
• Build frameworks and tools to empower clinical teams to review and investigate clinical cases reported by clients.
• Propose and implement foundational improvements to boost data platform scalability and analytics capabilities.
• Drive product analytics development cross-functionally and align Client Success, Clinical, Product, Data Science, and Engineering.

Software Engineer, Full Stack, AI/ML Products

Senior Software Engineer, Data Platform

Senior Software Engineer, AI/ML Product Analytics